Machine Learning-Based Virtual Sensing of Indoor Air Pollutants : Enabling Demand-Controlled Ventilation for Improved Indoor Air Quality and Energy Efficiency
- Alternative title
-
Machine Learning basiertes Virtual Sensing von Innenluftschadstoffen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2024
- Keyword
-
Raumluft
Luftverschmutzung
Innenraum
Luftqualität
Energieeffizienz
Messung
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2024
- Creator
-
Gabriel, Martin
- Contributor
- URN
-
urn:nbn:de:bvb:91-diss-20240709-1731027-1-4
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:52 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gabriel, Martin
- Auer, Thomas
- Wortmann, Thomas
- Petzold, Frank
- Universitätsbibliothek der TU München
Time of origin
- 2024
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